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Oct 12 · Monday
Agent safety · Papers
Found 4 papers实现 DEFER,以确定性检查优先拦截多智能体流水线的内容攻击
- Published
- Evaluated models
- Qwen3-235B-A22B-Instruct-2507, gpt-oss-120b, Llama-4-Scout-17B-16E-Instruct and others5
AbstractDEFER 把确定性检查放在 judge 之前。
DEFER 用来测量多智能体授权流水线里,确定性规则在何处结束、LLM judge 从何处开始。
提出 VAL 框架,并用确认门与参数沙箱约束智能体高风险工具调用
- Published
- Evaluated models
- DeepSeek-chat, Meta Llama 3.1 8B, Kimi
用 FARSIGHT 方案级评测金融 LLM 交易 Agent 的稳健性与安全失败
- Published
- Evaluated models
- ChatGPT Deep Research
提出 AgentKernel,用四支柱强制中介 Agent 的输入、工具与记忆
- Published
AbstractAgentKernel 是四支柱智能体 OS 设计,安全论证未附带实测数字。
AgentKernel 是把安全做成组织原则的智能体 OS 架构,不是带跑分的攻防评测。
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